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python data manipulation_16.06.2022

import pandas as pd
import numpy as np

country_data = pd.read_csv('https://learn.sharpsightlabs.com/wp-content/datasets/pdm/country_data.csv', index_col = 'country_code')
supercars = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/supercars.csv')
sales_data = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/sales_data.csv')
emp_fst_nm = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/emp_fst_nm.csv')
emp_lst_nm = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/emp_lst_nm.csv')
bank = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/bank.csv')
revenue_tidy = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/revenue_tidy.csv')
revenue_wide = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/revenue_wide.csv')
revenue_world_Q3Q4 = pd.read_csv('https://learn.sharpsightlabs.com/datasets/pdm/revenue_world_Q3Q4.csv')

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python data manipulation_16.06.2022

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